Changeset 1155
- Timestamp:
- Feb 26, 2008, 9:46:43 AM (16 years ago)
- File:
-
- 1 edited
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trunk/test/knn_test.cc
r1142 r1155 213 213 //////////////////////////////////////////////////////////////// 214 214 // A test of when a test sample has no variables with non-zero 215 // weights in common with training samples: should give nan distance216 //////////////////////////////////////////////////////////////// 217 *error << "test of predictions with nan distances \n";215 // weights in common with training samples: should not vote 216 //////////////////////////////////////////////////////////////// 217 *error << "test of predictions with nan distances (set to infinity in KNN)\n"; 218 218 weights1.all(1); 219 219 weights1(1,0)=weights1(1,1)=weights1(2,0)=weights1(2,1)=0.0; … … 224 224 knn6.train(); 225 225 knn6.predict(mlw3,prediction1); 226 // std::cout << "train:\n" << mlw1 << std::endl; 227 // std::cout << "test:\n" << mlw3 << std::endl; 228 // std::cout << "pred:\n" << prediction1 << std::endl; 226 result1(0,0)=0; 227 result1(0,2)=result1(1,1)=result1(1,3)=1.0; 228 result1(0,1)=result1(0,3)=result1(1,0)=result1(1,2)=2.0; 229 slack = deviation(prediction1,result1); 230 if (slack > slack_bound || std::isnan(slack)){ 231 *error << "Difference to expected prediction too large\n"; 232 *error << "slack: " << slack << std::endl; 233 *error << "expected less than " << slack_bound << std::endl; 234 ok = false; 235 } 236 229 237 230 238
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